Otimização topológica de placas de Kirchhoff

• Autor(a) principal: Campeão, Diego Esteves
• Data de Publicação: 2012
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/145
• topic: Equações diferenciais parciais; Otimização matemática; Differential equations, Partial; Mathematical optimization; CNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICA::ANALISE::EQUACOES DIFERENCIAIS PARCIAIS

In this work a methodology for the compliance topology design of Kirchhoff plates with volume constraint using topological derivative is presented. The topological derivative measures the sensitivity of a given shape functional with respect to an infinitesimal singular domain perturbation, such as the insertion of holes, inclusions, source-terms or even cracks. Firstly, the hypothesis associated to the Kirchhoff elastic plates bending model are presented as well as the functional that represents the total potential energy of the plate. Then, the mathematical development to obtain the topological derivative considering as singular perturbation the introduction of a small circular inclusion is presented. The total potential energy is considered as shape functional together with a volume constraint. The use of two methods for volume control is discussed. The first one is done by means of linear penalization and does not provide direct control over the required volume fraction. In this case, the penalty parameter is the coefficient of a linear term used to control the amount of material to be removed. The second approach is based on the Augmented Langrangian method which has both, linear and quadratic terms. The coefficient of the quadratic part controls the Lagrange multiplier update of the linear part. Through this last method it is possible to specify the final amount of material in the optimized structure. Next, a topology design algorithm of Kirchhoff plates is presented, which uses the information provided by the topological derivative together with a level-set domain representation method. Finally, some numerical examples are presented in the context of compliance topology optimization with volume constraint.